8 days ago
Mississauga, Canada +2 moreStaff+
Responsibilities
- Lead end-to-end architecture for AI-enabled applications, agentic workflows, web platforms, APIs, integrations, data services, and cloud deployment models.
- Translate business outcomes and non-functional requirements into current-state, target-state, transition, integration, security, data, and operational architectures.
- Define scalable patterns for AI application hosting, model access, retrieval-augmented generation, orchestration, identity, authorization, secrets, data boundaries, observability, evaluation, and human oversight.
- Research, evaluate, prototype, test, certify, and select technology products and services for solution delivery.
- Establish migration strategies, reference architectures, reusable components, architecture guardrails, decision records, and production-readiness criteria.
- Lead architecture workshops, assessments, technical deep dives, design reviews, and governance checkpoints across business and technical stakeholders.
- Guide solutions from proof of concept and pilot through production, including ownership, value measurement, risk treatment, support models, and lifecycle controls.
- Provide technical leadership to developers, platform engineers, DevOps engineers, analysts, vendors, and partner teams without relying on direct reporting authority.
- Lead large-scale projects or programs and own end-to-end technical outcomes.
- Define engineering standards for secure software delivery, CI/CD, infrastructure as code, testing, AI evaluation, monitoring, reliability, cost management, and incident response.
- Communicate architecture decisions to senior leaders and align diverse stakeholders on strategic technology decisions.
- Monitor emerging AI, cloud, identity, security, and web technologies and recommend practical adoption.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
- 12 years of related professional experience, including significant architecture and hands-on software or platform engineering experience.
- Demonstrated experience leading large-scale solution architecture from business requirements through implementation and production operation.
- Deep expertise in several areas including cloud architecture, distributed systems, application integration, APIs, web architecture, identity and access management, security, data architecture, DevSecOps, observability, reliability, and cost optimization.
- Strong experience with at least one major cloud platform and modern hosting approaches such as managed containers, serverless services, Kubernetes, or platform-as-a-service.
- Experience architecting AI-enabled applications using foundation-model services, retrieval, tool use, agents or orchestration, evaluation, content safety, prompt and data protection, and operational monitoring.
- Ability to establish standards, assess technology products, develop migration strategies, and make decisions with significant departmental or business-unit impact.
- Ability to lead large project teams, influence senior stakeholders, and communicate advanced technical implications in business terms.
- Strong written architecture skills covering reference architectures, solution blueprints, integration flows, threat considerations, architecture decisions, and implementation guidance.
- Preferred qualifications include enterprise AI landing zones, governed AI development patterns, Microsoft 365 architecture, Google Cloud, Microsoft Azure, AWS AI and data services, agent protocols, model gateways, vector search, RAG, structured evaluation, responsible AI controls, enterprise web ecosystems, CMS/DAM platforms, CDNs, API management, SSO, governance processes, relevant certifications, public speaking, technical writing, patents, standards contributions, or open-source work.
Benefits
- OpenText describes a benefits package supporting physical, emotional, and financial wellbeing, with vacation entitlement and paid time off.
- The posting states that compensation details may include variable and commission compensation opportunities for eligible roles.
- Salary is listed as 118,000 - 17700 CAD per annum, with actual pay varying based on education, experience, skills, location, and internal and external equity.
Tech Stack
Categories
About OpenText
OpenText builds enterprise information management software and cloud services spanning content services, customer communications, B2B/EDI integration, eDiscovery, and cybersecurity. It sells licenses, subscriptions, and managed services to large enterprises and governments, with offerings available on-premises and in the cloud. Founded in 1991 and headquartered in Waterloo, Ontario, OpenText (NASDAQ/TSX: OTEX) has expanded through major acquisitions, including Micro Focus (2023) and Documentum (2017).